Simulation on a Car-following Strategy for Adaptive Cruise Control System

doi:10.16182/j.issn1004731x.joss.18-0646

Abstract

Abstract: A car-following strategy based on the variable distance is proposed to improve the applicability of the ACC (Adaptive cruise control) system. The curvature radius of centroid trajectory of the host vehicle is computed by the kinetic model based on the unscented Kalman filter. In order to identify the car-following object, a vehicle tracking model is presented according to the relative kinetic states between the front vehicle and the host vehicle. The ACC system adjust the velocity of the host vehicle to control the safe distance between the host vehicle and the object vehicle. A complex condition with the lane-changing and curve route is simulated to test the car-following strategy. Results show that the host vehicle can track the object vehicle smoothly and quickly.

Key words: adaptive cruise control, car-following model, vehicle dynamic model, unscented Kalman filter

CLC Number:

Zhai Zhiqiang, Xu Jinliang, Yuan Hao, Zhou Yongming, Zhao LongFei, Wang Shiqian. Simulation on a Car-following Strategy for Adaptive Cruise Control System[J]. Journal of System Simulation, 2020, 32(5): 885-891.

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